M-estimation of the mixed-type generalized linear model

  1. Ying Dong
  2. Lixin Song
  3. Mingqiu Wang
  4. Muhammad Amin

Abstract

 

To investigate the features of the individual from the mixedtype model, a novel model, named the mixed-type generalized linear model, is proposed firstly in this work, which is verified to be realistic and useful. We consider the robustness of M-estimation to estimate the unknown parameters of the mixed-type generalized linear model. By applying the law of large numbers and the central limit theorem, the consistency and asymptotic normality of the M-estimation for the mixed-type generalized linear model are proved with regularity assumptions. At last, in order to evaluate the finite sample performance of the estimator for the new model, several applied instances are presented, which show the good performance of the estimator.

 

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Probability and Mathematical Statistics

38, z. 1, 2018

Pages from 209 to 223

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